{"id":"W6976370189","doi":"10.6068/dp14ba8ad37a550","title":"Trend 2003 - 2011. Statistics Canada. CANSIM: Population and Demography - Population Estimates and Projections | Country: Canada | Table: Neighbourhood income and demographics, taxfilers and dependents with after-tax income, by sex and age group | Variable: 35 to 44 years, Persons with after-tax income of $25,000 and over, Both sexes | Units: #, 2003-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-163.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Census; Residence; Socioeconomic status; Population statistics; Neighbourhood (mathematics); Economic statistics; Social statistics; Demographic statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002463193,0.00239117,0.002551535,0.006726572,0.003153345,0.004394074,0.00506269,0.001393697,0.09836636],"category_scores_gemma":[0.01750405,0.001767762,0.002279282,0.03128649,0.0006014383,0.002208654,0.00248815,0.003233786,0.05278035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05499384,"about_ca_system_score_gemma":0.1371059,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956908,"about_ca_topic_score_gemma":0.9939925,"domain_scores_codex":[0.9965469,0.0003028546,0.0004000796,0.0004037639,0.001587987,0.0007584166],"domain_scores_gemma":[0.971099,0.0008807505,0.0006222122,0.0008142481,0.02525179,0.001331898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002630155,0.000006601809,0.0008432278,0.0002655286,0.00002383741,0.000007916725,0.00002855003,0.0001640935,0.00001029051,0.0004512442,0.9950897,0.00308277],"study_design_scores_gemma":[0.0001890758,0.0000141819,0.02050715,0.001041618,0.00008574621,0.00003691442,0.0004946531,0.0008744345,0.0001822253,0.0009765154,0.9754907,0.0001066915],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008131473,0.0001044748,0.00008143494,0.00022859,0.00006474239,0.00003755714,0.997254,0.0001424105,0.002005582],"genre_scores_gemma":[0.001628868,0.0006445504,0.001296665,0.0003396548,0.00003140292,0.000290217,0.9880949,0.0002600558,0.007413701],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09836636,"threshold_uncertainty_score":0.3990101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00957014395199212,"score_gpt":0.2231649827432788,"score_spread":0.2135948387912866,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}